Using context based machine learning for generation of customized driving outputs
US11898865B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 3, 2021 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Aug 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Aspects of the disclosure relate to using machine learning methods for customized output generation. A computing platform may train a model (using historical data) by classifying the historical data by a trip context, a device interaction context, and physical condition context, or a personality context, and training models using the classified historical data. The computing platform may monitor a data source system to collect new data, which may include information about multiple drivers. The computing platform may generate, by inputting the new data into the model, a customized driving output for a first driver, where the customized driving output is based at least in part on information about a second driver. The computing platform may send, to a computing device, the customized driving output and commands directing the computing device to display the customized driving output, which may cause the computing device to display the customized driving output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.